Institute of Geodesy and Geoinformation

Rooted in mathematics, geodesy represents a highly interdisciplinary science, with applications to understanding risks to society and to developing sustainable pathways for human development. At IGG, we focus on using geodetic data for assessing climate change and monitoring the environment (including defining a global reference system), on land use management, property markets, urban planning, and ecosystem services assessment, and on developing sensor systems that aid precision agriculture and robotic systems research.

Sources of information that we analyze reach from dedicated gravity satellites such as GRACE and GRACE-FO, radar altimeters, multi- and hyperspectral remote sensing satellites, multi-GNSS, aerial, UAV- and vehicle-based sensors, and terrestrial instrumentation such as cameras and laser scanning. These geodetic data allow constructing space-time surface reconstructions at various scales that are used e.g. in sea level research, in the mapping of regional land subsidence or in plant phenology mapping, and deriving gravity field and mass change models, which in turn inform numerical simulation models. [...] read more¹

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Events¹⁰

UAV-based Spot Spraying Against Plant Diseases

Plant diseases often exhibit a patchy distribution within fields. The application of fungicides, however, is often based on environmental conditions and visual assessment and then, in practice, is homogeneous over entire fields. A site-specific control of plant diseases with robotics and drone technology provides the potential to improve the efficacy of disease control while reducing the negative impact on agricultural ecosystems.

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Digital Agricultural Avatar¹²

The PhenoRob Digital Agricultural Avatar is a software that facilitates access and usability of process-based simulation agro-models under one roof. Our aim is to provide information and a usage platform to make process-based agro-models available in an appealing way both for users as well as for the public.

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Bee Demonstrator - Detect and Identify Pollinators in the Field¹³

Field margins, floral plantings, and crops offering nectar and pollen to insects may contribute to ecosystem service delivery (pollination) and ecological intensiﬁcation of agriculture. The application of machine learning on data collected using low-cost RGB cameras represents a new opportunity to investigate, evaluate, and optimize the attractiveness of such cropping systems to beneficial insects.

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Automated Leaf-Level Inspection of Crops by Combining UAV and UGVs¹⁴

Robotic systems play a major role for realizing the vision of sustainable crop production. While Unmanned Aerial Vehicles (UAVs) are increasingly used to monitor the health status of agricultural fields using sensors like RGB cameras, multi-spectral cameras, and LiDAR, it is often still necessary to literally walk into the field to do close-up inspections of individual plants or even leaves for the detection of diseases or nutrient deficiencies in early stages of plant growth.

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PhenoRob: Research Priorities to Leverage Smart Digital Technologies for Sustainable Crop Production¹⁵

Agriculture today faces significant challenges that require new ways of thinking, such as smart digital technologies that enable innovative approaches. However, research gaps limit their potential to improve agriculture.

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Pheno-Inspect - a PhenoRob Startup¹⁶

One of PhenoRob's aims is to translate research into practice. Pheno-Inspect GmbH is a 2020 start up, with a strong connection to PhenoRob, working on how to interpret image-data recorded in agricultural fields and from there on out build smart AI systems to do the same to and provide services in the agricultural industry.

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Best Agri-Robotics Paper Award¹⁷

IROS 2024 Best Agri-Robotics Paper Award for the PhenoRob paper "BonnBeetClouds3D: A Dataset Towards Point Cloud-Based Organ-Level Phenotyping of Sugar Beet Plants Under Real Field Conditions" presented by Elias Marks and finalist for the IROS 2024 Best Agri-Robotics Paper Award for the PhenoRob paper "Spatio-Temporal Consistent Mapping of Growing Plants for Agricultural Robots in the Wild" presented by Luca Lobefaro at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024) in Abu Dhabi.

Thursday Apr 03, 2025

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Girls'Day - "Green Jobs"¹⁸

Nußallee 17, 53115 Bonn

09:00 AM - 03:30 PM

Das Ziel von Menschen in „Green Jobs“ ist es, Lösungen zu finden, die Erwärmung unseres Planeten gering zu halten, denn Wissenschaftler*innen gehen davon aus, ...

Saturday May 24, 2025

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Tag der Geodäsie¹⁹

Institut für Geodäsie ...

02:00 PM - 06:00 PM

An dem Tag erfährst Du, was sich eigentlich hinter dem Begriff Geodäsie verbirgt. Danach hast du bei einer Postersession Zeit, mit den einzelnen Arbeitsgruppen ...

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